Overview

Dataset statistics

Number of variables27
Number of observations136916
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.2 MiB
Average record size in memory216.0 B

Variable types

NUM25
CAT2

Warnings

LEEFTIJDSKLASSE has a high cardinality: 91 distinct values High cardinality
AANTAL_VERZEKERDEJAREN is highly correlated with AANTAL_BSN and 3 other fieldsHigh correlation
AANTAL_BSN is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
KOSTEN_HUISARTS_OVERIG is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
KOSTEN_VERLOSKUNDIGE_ZORG is highly correlated with KOSTEN_KRAAMZORGHigh correlation
KOSTEN_KRAAMZORG is highly correlated with KOSTEN_VERLOSKUNDIGE_ZORGHigh correlation
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly correlated with AANTAL_BSN and 1 other fieldsHigh correlation
AANTAL_BSN is highly skewed (γ1 = 359.9627084) Skewed
AANTAL_VERZEKERDEJAREN is highly skewed (γ1 = 339.5691361) Skewed
KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG is highly skewed (γ1 = 52.17140102) Skewed
KOSTEN_FARMACIE is highly skewed (γ1 = 29.41423327) Skewed
KOSTEN_SPECIALISTISCHE_GGZ is highly skewed (γ1 = 27.03511978) Skewed
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly skewed (γ1 = 190.2163179) Skewed
KOSTEN_HUISARTS_CONSULT is highly skewed (γ1 = 44.70295717) Skewed
KOSTEN_HUISARTS_OVERIG is highly skewed (γ1 = 195.4210711) Skewed
KOSTEN_ZIEKENVERVOER_LIGGEND is highly skewed (γ1 = 80.99502686) Skewed
KOSTEN_GENERALISTISCHE_BASIS_GGZ is highly skewed (γ1 = 26.69994527) Skewed
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly skewed (γ1 = 366.9142618) Skewed
KOSTEN_SPECIALISTISCHE_GGZ has 52814 (38.6%) zeros Zeros
KOSTEN_HUISARTS_MDZ has 11082 (8.1%) zeros Zeros
KOSTEN_HULPMIDDELEN has 6525 (4.8%) zeros Zeros
KOSTEN_MONDZORG has 27688 (20.2%) zeros Zeros
KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE has 29337 (21.4%) zeros Zeros
KOSTEN_PARAMEDISCHE_ZORG_OVERIG has 22856 (16.7%) zeros Zeros
KOSTEN_ZIEKENVERVOER_ZITTEND has 88328 (64.5%) zeros Zeros
KOSTEN_ZIEKENVERVOER_LIGGEND has 32887 (24.0%) zeros Zeros
KOSTEN_KRAAMZORG has 119707 (87.4%) zeros Zeros
KOSTEN_VERLOSKUNDIGE_ZORG has 118983 (86.9%) zeros Zeros
KOSTEN_GENERALISTISCHE_BASIS_GGZ has 75148 (54.9%) zeros Zeros
KOSTEN_LANGDURIGE_GGZ has 134601 (98.3%) zeros Zeros
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG has 53547 (39.1%) zeros Zeros
KOSTEN_EERSTELIJNS_ONDERSTEUNING has 58122 (42.5%) zeros Zeros
KOSTEN_GERIATRISCHE_REVALIDATIEZORG has 113073 (82.6%) zeros Zeros
KOSTEN_VERPLEGING_EN_VERZORGING has 63022 (46.0%) zeros Zeros
KOSTEN_OVERIG has 48825 (35.7%) zeros Zeros

Reproduction

Analysis started2020-10-25 20:14:23.225858
Analysis finished2020-10-25 20:16:44.331148
Duration2 minutes and 21.11 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

GESLACHT
Categorical

Distinct2
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
V
68671 
M
68244 
ValueCountFrequency (%) 
V6867150.2%
 
M6824449.8%
 
(Missing)1< 0.1%
 
2020-10-25T20:16:44.399716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-25T20:16:44.627019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:44.756974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.000014607
Min length1

LEEFTIJDSKLASSE
Categorical

HIGH CARDINALITY

Distinct91
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
54
 
1562
57
 
1559
48
 
1559
50
 
1558
55
 
1558
Other values (86)
129119 
ValueCountFrequency (%) 
5415621.1%
 
5715591.1%
 
4815591.1%
 
5015581.1%
 
5515581.1%
 
5215581.1%
 
4715571.1%
 
6015561.1%
 
5115561.1%
 
4915561.1%
 
Other values (81)12133688.6%
 
2020-10-25T20:16:44.996029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-25T20:16:45.214255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length2
Mean length1.899741447
Min length1

POSTCODE_3
Real number (ℝ≥0)

Distinct794
Distinct (%)0.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean541.178556
Minimum0
Maximum999
Zeros182
Zeros (%)0.1%
Memory size1.0 MiB
2020-10-25T20:16:45.413894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile144
Q1318
median539
Q3763
95-th percentile955
Maximum999
Range999
Interquartile range (IQR)445

Descriptive statistics

Standard deviation258.2297375
Coefficient of variation (CV)0.4771618065
Kurtosis-1.167168121
Mean541.178556
Median Absolute Deviation (MAD)223
Skewness0.03576618106
Sum74095462
Variance66682.59731
MonotocityNot monotonic
2020-10-25T20:16:45.642494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5401820.1%
 
1101820.1%
 
8911820.1%
 
7771820.1%
 
3921820.1%
 
3131820.1%
 
4131820.1%
 
1601820.1%
 
9241820.1%
 
6081820.1%
 
Other values (784)13509598.7%
 
ValueCountFrequency (%) 
01820.1%
 
1011820.1%
 
1021820.1%
 
1031820.1%
 
10416< 0.1%
 
ValueCountFrequency (%) 
9991660.1%
 
9981820.1%
 
9971720.1%
 
9961760.1%
 
9951800.1%
 

AANTAL_BSN
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct1126
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.8387478
Minimum10
Maximum356551
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-10-25T20:16:45.871612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile16
Q141
median82
Q3163
95-th percentile381
Maximum356551
Range356541
Interquartile range (IQR)122

Descriptive statistics

Standard deviation972.1535101
Coefficient of variation (CV)7.60452935
Kurtosis131972.1916
Mean127.8387478
Median Absolute Deviation (MAD)50
Skewness359.9627084
Sum17503170
Variance945082.4472
MonotocityNot monotonic
2020-10-25T20:16:46.091104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1911610.8%
 
2111480.8%
 
2911470.8%
 
2211400.8%
 
2811400.8%
 
2011370.8%
 
1811330.8%
 
3311280.8%
 
3511270.8%
 
3011230.8%
 
Other values (1116)12553291.7%
 
ValueCountFrequency (%) 
1010220.7%
 
1110340.8%
 
1210780.8%
 
1310660.8%
 
1410660.8%
 
ValueCountFrequency (%) 
3565511< 0.1%
 
23111< 0.1%
 
22921< 0.1%
 
22321< 0.1%
 
21301< 0.1%
 

AANTAL_VERZEKERDEJAREN
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct34846
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.5254763
Minimum3.09
Maximum196219.74
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-10-25T20:16:46.339454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.09
5-th percentile15.27
Q140
median81
Q3160.34
95-th percentile376.0325
Maximum196219.74
Range196216.65
Interquartile range (IQR)120.34

Descriptive statistics

Standard deviation545.3718356
Coefficient of variation (CV)4.37960048
Kurtosis122082.8639
Mean124.5254763
Median Absolute Deviation (MAD)50
Skewness339.5691361
Sum17049530.11
Variance297430.4391
MonotocityNot monotonic
2020-10-25T20:16:46.563753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
127490.5%
 
117380.5%
 
197180.5%
 
217100.5%
 
157070.5%
 
107040.5%
 
167030.5%
 
147010.5%
 
136890.5%
 
186820.5%
 
Other values (34836)12981594.8%
 
ValueCountFrequency (%) 
3.091< 0.1%
 
3.951< 0.1%
 
4.11< 0.1%
 
4.331< 0.1%
 
4.471< 0.1%
 
ValueCountFrequency (%) 
196219.741< 0.1%
 
2220.621< 0.1%
 
2191.361< 0.1%
 
2130.011< 0.1%
 
2047.131< 0.1%
 
Distinct136549
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165218.8045
Minimum-7777
Maximum46978766.76
Zeros19
Zeros (%)< 0.1%
Memory size1.0 MiB
2020-10-25T20:16:46.861792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-7777
5-th percentile6303.62
Q132441.9675
median88496.32
Q3215527.94
95-th percentile576265.5525
Maximum46978766.76
Range46986543.76
Interquartile range (IQR)183085.9725

Descriptive statistics

Standard deviation246118.0601
Coefficient of variation (CV)1.4896492
Kurtosis9567.953488
Mean165218.8045
Median Absolute Deviation (MAD)68699.18
Skewness52.17140102
Sum2.262109784e+10
Variance6.057409949e+10
MonotocityNot monotonic
2020-10-25T20:16:47.090610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
019< 0.1%
 
15786.082< 0.1%
 
7924.322< 0.1%
 
98888.892< 0.1%
 
61873.072< 0.1%
 
23836.252< 0.1%
 
35359.692< 0.1%
 
51836.982< 0.1%
 
201550.682< 0.1%
 
27312.562< 0.1%
 
Other values (136539)136879> 99.9%
 
ValueCountFrequency (%) 
-77771< 0.1%
 
019< 0.1%
 
12.521< 0.1%
 
231< 0.1%
 
25.711< 0.1%
 
ValueCountFrequency (%) 
46978766.761< 0.1%
 
4462180.081< 0.1%
 
4142347.51< 0.1%
 
3839430.51< 0.1%
 
3616606.711< 0.1%
 

KOSTEN_FARMACIE
Real number (ℝ≥0)

SKEWED

Distinct134842
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33974.63187
Minimum14.11
Maximum8368957.11
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-10-25T20:16:47.385733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14.11
5-th percentile906.0675
Q14957.82
median15929.88
Q343154.03
95-th percentile125922.9925
Maximum8368957.11
Range8368943
Interquartile range (IQR)38196.21

Descriptive statistics

Standard deviation54331.59987
Coefficient of variation (CV)1.599181415
Kurtosis4067.416092
Mean33974.63187
Median Absolute Deviation (MAD)13287.735
Skewness29.41423327
Sum4651670697
Variance2951922745
MonotocityNot monotonic
2020-10-25T20:16:47.725742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4341.593< 0.1%
 
194.13< 0.1%
 
2217.623< 0.1%
 
748.933< 0.1%
 
767.123< 0.1%
 
15623.323< 0.1%
 
1632.163< 0.1%
 
28952.863< 0.1%
 
263.263< 0.1%
 
2447.933< 0.1%
 
Other values (134832)136886> 99.9%
 
ValueCountFrequency (%) 
14.111< 0.1%
 
14.141< 0.1%
 
14.161< 0.1%
 
14.321< 0.1%
 
14.981< 0.1%
 
ValueCountFrequency (%) 
8368957.111< 0.1%
 
1231629.741< 0.1%
 
1166271.421< 0.1%
 
1147381.841< 0.1%
 
1015539.561< 0.1%
 

KOSTEN_SPECIALISTISCHE_GGZ
Real number (ℝ)

SKEWED
ZEROS

Distinct69094
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21524.51238
Minimum-66348.6
Maximum7669881.83
Zeros52814
Zeros (%)38.6%
Memory size1.0 MiB
2020-10-25T20:16:47.976113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-66348.6
5-th percentile0
Q10
median2561.32
Q319746.3775
95-th percentile108695.9
Maximum7669881.83
Range7736230.43
Interquartile range (IQR)19746.3775

Descriptive statistics

Standard deviation51905.61999
Coefficient of variation (CV)2.411465545
Kurtosis3468.236635
Mean21524.51238
Median Absolute Deviation (MAD)2561.32
Skewness27.03511978
Sum2947050137
Variance2694193386
MonotocityNot monotonic
2020-10-25T20:16:48.209483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05281438.6%
 
616.731810.1%
 
1109.941630.1%
 
2502.321450.1%
 
1028.981250.1%
 
2500.541060.1%
 
2450.72980.1%
 
585.66930.1%
 
635.02880.1%
 
320.74870.1%
 
Other values (69084)8301660.6%
 
ValueCountFrequency (%) 
-66348.61< 0.1%
 
-56879.221< 0.1%
 
-28221.911< 0.1%
 
-17118.931< 0.1%
 
-15556.561< 0.1%
 
ValueCountFrequency (%) 
7669881.831< 0.1%
 
1160281.641< 0.1%
 
910582.081< 0.1%
 
890716.441< 0.1%
 
857109.741< 0.1%
 

KOSTEN_HUISARTS_INSCHRIJFTARIEF
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct35375
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8055.889751
Minimum59.96
Maximum3973069.45
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-10-25T20:16:48.463195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum59.96
5-th percentile1074
Q12698.2
median5456.36
Q310611.45
95-th percentile23699.9925
Maximum3973069.45
Range3973009.49
Interquartile range (IQR)7913.25

Descriptive statistics

Standard deviation13390.55662
Coefficient of variation (CV)1.662207035
Kurtosis56149.53843
Mean8055.889751
Median Absolute Deviation (MAD)3327.78
Skewness190.2163179
Sum1102980201
Variance179307006.5
MonotocityNot monotonic
2020-10-25T20:16:48.695355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
719.525290.4%
 
659.564880.4%
 
1259.164830.4%
 
1019.324770.3%
 
1139.244740.3%
 
1199.24690.3%
 
959.364650.3%
 
899.44530.3%
 
1319.124520.3%
 
599.64460.3%
 
Other values (35365)13218096.5%
 
ValueCountFrequency (%) 
59.961< 0.1%
 
104.931< 0.1%
 
149.92< 0.1%
 
164.898< 0.1%
 
179.886< 0.1%
 
ValueCountFrequency (%) 
3973069.451< 0.1%
 
133923.661< 0.1%
 
130108.51< 0.1%
 
127593.251< 0.1%
 
121932.841< 0.1%
 

KOSTEN_HUISARTS_CONSULT
Real number (ℝ≥0)

SKEWED

Distinct95969
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5202.935385
Minimum0
Maximum1261062.66
Zeros38
Zeros (%)< 0.1%
Memory size1.0 MiB
2020-10-25T20:16:48.984679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile429.185
Q11440.44
median3217.68
Q36764.4125
95-th percentile16346.91
Maximum1261062.66
Range1261062.66
Interquartile range (IQR)5323.9725

Descriptive statistics

Standard deviation7016.106244
Coefficient of variation (CV)1.348489982
Kurtosis7525.288994
Mean5202.935385
Median Absolute Deviation (MAD)2165.86
Skewness44.70295717
Sum712365101.2
Variance49225746.83
MonotocityNot monotonic
2020-10-25T20:16:49.223983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
038< 0.1%
 
198.4922< 0.1%
 
249.2720< 0.1%
 
272.3620< 0.1%
 
332.3719< 0.1%
 
226.219< 0.1%
 
33719< 0.1%
 
355.4519< 0.1%
 
272.3718< 0.1%
 
457.0218< 0.1%
 
Other values (95959)13670499.8%
 
ValueCountFrequency (%) 
038< 0.1%
 
1.751< 0.1%
 
21< 0.1%
 
2.483< 0.1%
 
2.921< 0.1%
 
ValueCountFrequency (%) 
1261062.661< 0.1%
 
236449.851< 0.1%
 
166311.621< 0.1%
 
150052.211< 0.1%
 
144627.11< 0.1%
 

KOSTEN_HUISARTS_MDZ
Real number (ℝ≥0)

ZEROS

Distinct102579
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4141.753646
Minimum0
Maximum793129.65
Zeros11082
Zeros (%)8.1%
Memory size1.0 MiB
2020-10-25T20:16:49.504481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1168.6
median1474.31
Q35177.05
95-th percentile17146.29
Maximum793129.65
Range793129.65
Interquartile range (IQR)5008.45

Descriptive statistics

Standard deviation7124.624366
Coefficient of variation (CV)1.720195109
Kurtosis1113.478075
Mean4141.753646
Median Absolute Deviation (MAD)1453.43
Skewness12.89649631
Sum567072342.2
Variance50760272.35
MonotocityNot monotonic
2020-10-25T20:16:49.724440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0110828.1%
 
0.221770.1%
 
22.821600.1%
 
0.331570.1%
 
41.821370.1%
 
414.481240.1%
 
2351220.1%
 
0.261210.1%
 
3.21210.1%
 
0.551120.1%
 
Other values (102569)12460391.0%
 
ValueCountFrequency (%) 
0110828.1%
 
0.1168< 0.1%
 
0.122< 0.1%
 
0.1326< 0.1%
 
0.166< 0.1%
 
ValueCountFrequency (%) 
793129.651< 0.1%
 
148980.281< 0.1%
 
134874.461< 0.1%
 
116405.581< 0.1%
 
107586.711< 0.1%
 

KOSTEN_HUISARTS_OVERIG
Real number (ℝ)

HIGH CORRELATION
SKEWED

Distinct128820
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6182.330392
Minimum-236.47
Maximum3402557.07
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-10-25T20:16:50.025470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-236.47
5-th percentile725.16
Q11980.7975
median3995.355
Q37954.2975
95-th percentile18781
Maximum3402557.07
Range3402793.54
Interquartile range (IQR)5973.5

Descriptive statistics

Standard deviation11369.87941
Coefficient of variation (CV)1.839092816
Kurtosis58158.58309
Mean6182.330392
Median Absolute Deviation (MAD)2480.33
Skewness195.4210711
Sum846459948
Variance129274157.8
MonotocityNot monotonic
2020-10-25T20:16:50.247064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3563.214< 0.1%
 
2022.214< 0.1%
 
1884.754< 0.1%
 
2232.354< 0.1%
 
3218.054< 0.1%
 
1038.094< 0.1%
 
1651.74< 0.1%
 
2679.174< 0.1%
 
4802.84< 0.1%
 
2671.144< 0.1%
 
Other values (128810)136876> 99.9%
 
ValueCountFrequency (%) 
-236.471< 0.1%
 
31.381< 0.1%
 
70.321< 0.1%
 
72.261< 0.1%
 
82.151< 0.1%
 
ValueCountFrequency (%) 
3402557.071< 0.1%
 
192792.031< 0.1%
 
161228.241< 0.1%
 
143081.981< 0.1%
 
137433.241< 0.1%
 

KOSTEN_HULPMIDDELEN
Real number (ℝ≥0)

ZEROS

Distinct119605
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10638.33065
Minimum0
Maximum1675945.12
Zeros6525
Zeros (%)4.8%
Memory size1.0 MiB
2020-10-25T20:16:50.659230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.4075
Q11028.1325
median5060.01
Q313791.9725
95-th percentile39410.215
Maximum1675945.12
Range1675945.12
Interquartile range (IQR)12763.84

Descriptive statistics

Standard deviation16990.32385
Coefficient of variation (CV)1.597085521
Kurtosis755.641834
Mean10638.33065
Median Absolute Deviation (MAD)4713.01
Skewness12.12283136
Sum1456557680
Variance288671104.6
MonotocityNot monotonic
2020-10-25T20:16:50.873185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
065254.8%
 
29.18380.6%
 
30.552850.2%
 
23.52730.2%
 
58.21730.1%
 
30.711410.1%
 
29.421310.1%
 
461260.1%
 
32.331180.1%
 
59.65860.1%
 
Other values (119595)12822093.6%
 
ValueCountFrequency (%) 
065254.8%
 
0.181< 0.1%
 
0.191< 0.1%
 
0.23< 0.1%
 
0.212< 0.1%
 
ValueCountFrequency (%) 
1675945.121< 0.1%
 
706827.191< 0.1%
 
543395.351< 0.1%
 
461447.341< 0.1%
 
454747.291< 0.1%
 

KOSTEN_MONDZORG
Real number (ℝ)

ZEROS

Distinct95906
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5379.195574
Minimum-444.08
Maximum938749.29
Zeros27688
Zeros (%)20.2%
Memory size1.0 MiB
2020-10-25T20:16:51.154966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-444.08
5-th percentile0
Q1144.4775
median1653.65
Q35704.5075
95-th percentile22786.1675
Maximum938749.29
Range939193.37
Interquartile range (IQR)5560.03

Descriptive statistics

Standard deviation11338.41865
Coefficient of variation (CV)2.107827925
Kurtosis395.0284354
Mean5379.195574
Median Absolute Deviation (MAD)1653.65
Skewness9.661026124
Sum736497941.2
Variance128559737.4
MonotocityNot monotonic
2020-10-25T20:16:51.371964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02768820.2%
 
84.982670.2%
 
20.442220.2%
 
74.191980.1%
 
40.881280.1%
 
61.32900.1%
 
59.53790.1%
 
162.55750.1%
 
120.3750.1%
 
156.31700.1%
 
Other values (95896)10802478.9%
 
ValueCountFrequency (%) 
-444.081< 0.1%
 
-441.91< 0.1%
 
-83.513< 0.1%
 
-82.881< 0.1%
 
-48.021< 0.1%
 
ValueCountFrequency (%) 
938749.291< 0.1%
 
271261.51< 0.1%
 
270464.061< 0.1%
 
265425.581< 0.1%
 
261961.261< 0.1%
 

KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE
Real number (ℝ≥0)

ZEROS

Distinct76018
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3625.310251
Minimum0
Maximum340085.91
Zeros29337
Zeros (%)21.4%
Memory size1.0 MiB
2020-10-25T20:16:51.621954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1171
median1768.425
Q34883.5
95-th percentile13733.5875
Maximum340085.91
Range340085.91
Interquartile range (IQR)4712.5

Descriptive statistics

Standard deviation5253.34491
Coefficient of variation (CV)1.449074575
Kurtosis139.1174201
Mean3625.310251
Median Absolute Deviation (MAD)1768.425
Skewness4.866484901
Sum496362978.3
Variance27597632.75
MonotocityNot monotonic
2020-10-25T20:16:51.833602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02933721.4%
 
29.51310.1%
 
28.51190.1%
 
59980.1%
 
85.5970.1%
 
57930.1%
 
88.5910.1%
 
206.5890.1%
 
32.75890.1%
 
29.25860.1%
 
Other values (76008)10668677.9%
 
ValueCountFrequency (%) 
02933721.4%
 
7.121< 0.1%
 
9.051< 0.1%
 
101< 0.1%
 
12.651< 0.1%
 
ValueCountFrequency (%) 
340085.911< 0.1%
 
121763.261< 0.1%
 
92821.351< 0.1%
 
88719.41< 0.1%
 
79761.981< 0.1%
 

KOSTEN_PARAMEDISCHE_ZORG_OVERIG
Real number (ℝ)

ZEROS

Distinct74302
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1736.739558
Minimum-46.02
Maximum258441.47
Zeros22856
Zeros (%)16.7%
Memory size1.0 MiB
2020-10-25T20:16:52.093140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-46.02
5-th percentile0
Q1122.045
median518.47
Q31514.2375
95-th percentile6435.145
Maximum258441.47
Range258487.49
Interquartile range (IQR)1392.1925

Descriptive statistics

Standard deviation5016.948869
Coefficient of variation (CV)2.888716875
Kurtosis247.1896119
Mean1736.739558
Median Absolute Deviation (MAD)518.47
Skewness11.48801444
Sum237787433.3
Variance25169775.95
MonotocityNot monotonic
2020-10-25T20:16:52.313125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02285616.7%
 
176.885120.4%
 
178.84550.3%
 
1864220.3%
 
933760.3%
 
88.443750.3%
 
117.923580.3%
 
1803440.3%
 
89.43020.2%
 
1243000.2%
 
Other values (74292)11061680.8%
 
ValueCountFrequency (%) 
-46.021< 0.1%
 
-28.91< 0.1%
 
02285616.7%
 
3.881< 0.1%
 
8.941< 0.1%
 
ValueCountFrequency (%) 
258441.471< 0.1%
 
219682.471< 0.1%
 
207652.461< 0.1%
 
184182.511< 0.1%
 
168919.611< 0.1%
 

KOSTEN_ZIEKENVERVOER_ZITTEND
Real number (ℝ)

ZEROS

Distinct33337
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean760.0814567
Minimum-114.92
Maximum136850
Zeros88328
Zeros (%)64.5%
Memory size1.0 MiB
2020-10-25T20:16:52.545356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-114.92
5-th percentile0
Q10
median0
Q3412.985
95-th percentile4466.335
Maximum136850
Range136964.92
Interquartile range (IQR)412.985

Descriptive statistics

Standard deviation2134.031625
Coefficient of variation (CV)2.807635427
Kurtosis162.8472167
Mean760.0814567
Median Absolute Deviation (MAD)0
Skewness7.025894536
Sum104067312.7
Variance4554090.977
MonotocityNot monotonic
2020-10-25T20:16:52.758058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08832864.5%
 
6853< 0.1%
 
0.846< 0.1%
 
101.645< 0.1%
 
28.842< 0.1%
 
1240< 0.1%
 
23639< 0.1%
 
202.438< 0.1%
 
40435< 0.1%
 
269.634< 0.1%
 
Other values (33327)4821635.2%
 
ValueCountFrequency (%) 
-114.921< 0.1%
 
-1001< 0.1%
 
-39.121< 0.1%
 
08832864.5%
 
0.011< 0.1%
 
ValueCountFrequency (%) 
1368501< 0.1%
 
46078.711< 0.1%
 
42960.971< 0.1%
 
41745.031< 0.1%
 
41298.81< 0.1%
 

KOSTEN_ZIEKENVERVOER_LIGGEND
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct34449
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4087.406303
Minimum0
Maximum1863993.75
Zeros32887
Zeros (%)24.0%
Memory size1.0 MiB
2020-10-25T20:16:53.012754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1509.39
median1781.67
Q35094.565
95-th percentile15605.5725
Maximum1863993.75
Range1863993.75
Interquartile range (IQR)4585.175

Descriptive statistics

Standard deviation8478.113404
Coefficient of variation (CV)2.074203731
Kurtosis16981.06412
Mean4087.406303
Median Absolute Deviation (MAD)1781.67
Skewness80.99502686
Sum559631321.4
Variance71878406.9
MonotocityNot monotonic
2020-10-25T20:16:53.379822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03288724.0%
 
697.899030.7%
 
721.299010.7%
 
693.998290.6%
 
729.097990.6%
 
701.797740.6%
 
736.897640.6%
 
713.497620.6%
 
717.397590.6%
 
705.697430.5%
 
Other values (34439)9679570.7%
 
ValueCountFrequency (%) 
03288724.0%
 
6.241< 0.1%
 
7.61< 0.1%
 
18.441< 0.1%
 
23.681< 0.1%
 
ValueCountFrequency (%) 
1863993.751< 0.1%
 
334469.071< 0.1%
 
277647.961< 0.1%
 
246295.681< 0.1%
 
227647.731< 0.1%
 

KOSTEN_KRAAMZORG
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct15582
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2159.761131
Minimum-144.51
Maximum923607.73
Zeros119707
Zeros (%)87.4%
Memory size1.0 MiB
2020-10-25T20:16:53.626149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-144.51
5-th percentile0
Q10
median0
Q30
95-th percentile11973.1575
Maximum923607.73
Range923752.24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10594.81061
Coefficient of variation (CV)4.905547405
Kurtosis528.7407824
Mean2159.761131
Median Absolute Deviation (MAD)0
Skewness13.04207752
Sum295705855
Variance112250011.9
MonotocityNot monotonic
2020-10-25T20:16:53.854825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
011970787.4%
 
21.642230.2%
 
86.531220.1%
 
43.271000.1%
 
108.16850.1%
 
104.8962< 0.1%
 
4052< 0.1%
 
1038< 0.1%
 
43.2932< 0.1%
 
3025< 0.1%
 
Other values (15572)1647012.0%
 
ValueCountFrequency (%) 
-144.511< 0.1%
 
011970787.4%
 
2.11< 0.1%
 
8.251< 0.1%
 
8.3212< 0.1%
 
ValueCountFrequency (%) 
923607.731< 0.1%
 
342528.491< 0.1%
 
340512.791< 0.1%
 
323931.421< 0.1%
 
277844.881< 0.1%
 

KOSTEN_VERLOSKUNDIGE_ZORG
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct14541
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1534.488048
Minimum-152.78
Maximum845092.35
Zeros118983
Zeros (%)86.9%
Memory size1.0 MiB
2020-10-25T20:16:54.077422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-152.78
5-th percentile0
Q10
median0
Q30
95-th percentile7889.535
Maximum845092.35
Range845245.13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8216.922456
Coefficient of variation (CV)5.354829885
Kurtosis1013.114629
Mean1534.488048
Median Absolute Deviation (MAD)0
Skewness18.26861037
Sum210095965.6
Variance67517814.65
MonotocityNot monotonic
2020-10-25T20:16:54.297136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
011898386.9%
 
294.182900.2%
 
36.482000.1%
 
1563.06890.1%
 
1636.02850.1%
 
1599.54810.1%
 
43.77780.1%
 
211.54770.1%
 
167.7768< 0.1%
 
72.9662< 0.1%
 
Other values (14531)1690312.3%
 
ValueCountFrequency (%) 
-152.781< 0.1%
 
011898386.9%
 
27.638< 0.1%
 
34.82< 0.1%
 
36.482000.1%
 
ValueCountFrequency (%) 
845092.351< 0.1%
 
333279.31< 0.1%
 
326058.551< 0.1%
 
321894.71< 0.1%
 
305078.571< 0.1%
 

KOSTEN_GENERALISTISCHE_BASIS_GGZ
Real number (ℝ)

SKEWED
ZEROS

Distinct29818
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1534.637771
Minimum-218.41
Maximum526191.06
Zeros75148
Zeros (%)54.9%
Memory size1.0 MiB
2020-10-25T20:16:54.522042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-218.41
5-th percentile0
Q10
median0
Q31686.58
95-th percentile7315.235
Maximum526191.06
Range526409.47
Interquartile range (IQR)1686.58

Descriptive statistics

Standard deviation3650.853125
Coefficient of variation (CV)2.378967333
Kurtosis3180.788237
Mean1534.637771
Median Absolute Deviation (MAD)0
Skewness26.69994527
Sum210116465
Variance13328728.54
MonotocityNot monotonic
2020-10-25T20:16:54.749876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07514854.9%
 
1262.8220281.5%
 
1199.6811220.8%
 
1136.549050.7%
 
1165.488950.7%
 
805.347070.5%
 
1212.317010.5%
 
765.076600.5%
 
724.816070.4%
 
192.925210.4%
 
Other values (29808)5362239.2%
 
ValueCountFrequency (%) 
-218.411< 0.1%
 
-100.321< 0.1%
 
07514854.9%
 
4.61< 0.1%
 
12.861< 0.1%
 
ValueCountFrequency (%) 
526191.061< 0.1%
 
114056.41< 0.1%
 
105632.971< 0.1%
 
105581.31< 0.1%
 
99291.361< 0.1%
 

KOSTEN_LANGDURIGE_GGZ
Real number (ℝ≥0)

ZEROS

Distinct2031
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1069.980375
Minimum0
Maximum590133.67
Zeros134601
Zeros (%)98.3%
Memory size1.0 MiB
2020-10-25T20:16:54.985976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum590133.67
Range590133.67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11172.98936
Coefficient of variation (CV)10.44223765
Kurtosis381.1033838
Mean1069.980375
Median Absolute Deviation (MAD)0
Skewness16.26609839
Sum146497433.1
Variance124835691.2
MonotocityNot monotonic
2020-10-25T20:16:55.208088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
013460198.3%
 
87191.226< 0.1%
 
87906.623< 0.1%
 
88618.3521< 0.1%
 
144295.4510< 0.1%
 
89330.18< 0.1%
 
87913.98< 0.1%
 
85055.957< 0.1%
 
146832.27< 0.1%
 
143025.257< 0.1%
 
Other values (2021)21981.6%
 
ValueCountFrequency (%) 
013460198.3%
 
216.471< 0.1%
 
239.471< 0.1%
 
477.761< 0.1%
 
478.941< 0.1%
 
ValueCountFrequency (%) 
590133.671< 0.1%
 
475537.491< 0.1%
 
448251.021< 0.1%
 
427507.441< 0.1%
 
415939.051< 0.1%
 

KOSTEN_GRENSOVERSCHRIJDENDE_ZORG
Real number (ℝ)

HIGH CORRELATION
SKEWED
ZEROS

Distinct64331
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2240.297002
Minimum-378.77
Maximum38535043.17
Zeros53547
Zeros (%)39.1%
Memory size1.0 MiB
2020-10-25T20:16:55.475987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-378.77
5-th percentile0
Q10
median98.35
Q3839.0575
95-th percentile9513.81
Maximum38535043.17
Range38535421.94
Interquartile range (IQR)839.0575

Descriptive statistics

Standard deviation104431.1475
Coefficient of variation (CV)46.61486733
Kurtosis135381.9081
Mean2240.297002
Median Absolute Deviation (MAD)98.35
Skewness366.9142618
Sum306732504.3
Variance1.090586457e+10
MonotocityNot monotonic
2020-10-25T20:16:55.710095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05354739.1%
 
27.634550.3%
 
253360.2%
 
502920.2%
 
27.651670.1%
 
55.271510.1%
 
1001450.1%
 
601400.1%
 
401320.1%
 
801160.1%
 
Other values (64321)8143559.5%
 
ValueCountFrequency (%) 
-378.771< 0.1%
 
05354739.1%
 
0.12< 0.1%
 
0.121< 0.1%
 
0.141< 0.1%
 
ValueCountFrequency (%) 
38535043.171< 0.1%
 
565883.311< 0.1%
 
390986.861< 0.1%
 
381327.751< 0.1%
 
341457.941< 0.1%
 

KOSTEN_EERSTELIJNS_ONDERSTEUNING
Real number (ℝ≥0)

ZEROS

Distinct687
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.014787972
Minimum0
Maximum753.88
Zeros58122
Zeros (%)42.5%
Memory size1.0 MiB
2020-10-25T20:16:56.083232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.88
Q35.64
95-th percentile35.72
Maximum753.88
Range753.88
Interquartile range (IQR)5.64

Descriptive statistics

Standard deviation25.49039931
Coefficient of variation (CV)3.180420917
Kurtosis64.7443214
Mean8.014787972
Median Absolute Deviation (MAD)1.88
Skewness6.996626101
Sum1097352.71
Variance649.7604571
MonotocityNot monotonic
2020-10-25T20:16:56.309538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05812242.5%
 
1.882657319.4%
 
3.76132729.7%
 
5.6472165.3%
 
7.5243893.2%
 
9.426902.0%
 
11.2819911.5%
 
13.1613891.0%
 
15.0411310.8%
 
1.419770.7%
 
Other values (677)1916614.0%
 
ValueCountFrequency (%) 
05812242.5%
 
0.473840.3%
 
0.944120.3%
 
1.419770.7%
 
1.882657319.4%
 
ValueCountFrequency (%) 
753.881< 0.1%
 
452.611< 0.1%
 
447.911< 0.1%
 
429.111< 0.1%
 
412.661< 0.1%
 

KOSTEN_GERIATRISCHE_REVALIDATIEZORG
Real number (ℝ≥0)

ZEROS

Distinct11575
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5202.749319
Minimum0
Maximum917725.19
Zeros113073
Zeros (%)82.6%
Memory size1.0 MiB
2020-10-25T20:16:56.541588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33003.2525
Maximum917725.19
Range917725.19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18580.47046
Coefficient of variation (CV)3.571279207
Kurtosis231.6099099
Mean5202.749319
Median Absolute Deviation (MAD)0
Skewness10.05508917
Sum712339625.8
Variance345233882.5
MonotocityNot monotonic
2020-10-25T20:16:56.766202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
011307382.6%
 
10821.254080.3%
 
10663.032770.2%
 
12914.822010.1%
 
19172.941840.1%
 
5677.021820.1%
 
10932.811670.1%
 
5594.021540.1%
 
14034.61490.1%
 
18892.621440.1%
 
Other values (11565)2197716.1%
 
ValueCountFrequency (%) 
011307382.6%
 
256.931< 0.1%
 
258.051< 0.1%
 
262.081< 0.1%
 
263.421< 0.1%
 
ValueCountFrequency (%) 
917725.191< 0.1%
 
838777.41< 0.1%
 
7991031< 0.1%
 
775131.871< 0.1%
 
646977.021< 0.1%
 

KOSTEN_VERPLEGING_EN_VERZORGING
Real number (ℝ)

ZEROS

Distinct67257
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25079.22121
Minimum-2784.46
Maximum5598974.62
Zeros63022
Zeros (%)46.0%
Memory size1.0 MiB
2020-10-25T20:16:57.015678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-2784.46
5-th percentile0
Q10
median244.635
Q318909.315
95-th percentile121325.8825
Maximum5598974.62
Range5601759.08
Interquartile range (IQR)18909.315

Descriptive statistics

Standard deviation84878.18013
Coefficient of variation (CV)3.384402547
Kurtosis463.3123273
Mean25079.22121
Median Absolute Deviation (MAD)244.635
Skewness15.2946965
Sum3433746651
Variance7204305462
MonotocityNot monotonic
2020-10-25T20:16:57.226321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06302246.0%
 
6821590.1%
 
136459< 0.1%
 
162.9654< 0.1%
 
72240< 0.1%
 
53.5240< 0.1%
 
108.9637< 0.1%
 
54.4835< 0.1%
 
163.4433< 0.1%
 
71.0432< 0.1%
 
Other values (67247)7340553.6%
 
ValueCountFrequency (%) 
-2784.461< 0.1%
 
-1374.841< 0.1%
 
-988.261< 0.1%
 
06302246.0%
 
3.771< 0.1%
 
ValueCountFrequency (%) 
5598974.621< 0.1%
 
4198428.661< 0.1%
 
3974729.991< 0.1%
 
3292775.151< 0.1%
 
3285374.971< 0.1%
 

KOSTEN_OVERIG
Real number (ℝ)

ZEROS

Distinct58737
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3979.077726
Minimum-1432.6
Maximum834029.68
Zeros48825
Zeros (%)35.7%
Memory size1.0 MiB
2020-10-25T20:16:57.489957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1432.6
5-th percentile0
Q10
median253.2
Q31969.3775
95-th percentile20354.3975
Maximum834029.68
Range835462.28
Interquartile range (IQR)1969.3775

Descriptive statistics

Standard deviation13933.25975
Coefficient of variation (CV)3.501630456
Kurtosis335.874178
Mean3979.077726
Median Absolute Deviation (MAD)253.2
Skewness12.63101444
Sum544799406
Variance194135727.4
MonotocityNot monotonic
2020-10-25T20:16:57.712296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04882535.7%
 
908860.6%
 
63.037560.6%
 
354.764710.3%
 
72.744360.3%
 
98.913770.3%
 
2222.363700.3%
 
262.393570.3%
 
50.193560.3%
 
67.863540.3%
 
Other values (58727)8372861.2%
 
ValueCountFrequency (%) 
-1432.61< 0.1%
 
-761.821< 0.1%
 
-564.291< 0.1%
 
-119.781< 0.1%
 
-114.661< 0.1%
 
ValueCountFrequency (%) 
834029.681< 0.1%
 
762560.691< 0.1%
 
548580.591< 0.1%
 
495262.091< 0.1%
 
477522.071< 0.1%
 

Interactions

2020-10-25T20:14:25.937453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:26.136207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:26.327888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:26.524791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:26.724370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:26.935489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:27.142150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:27.350209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:27.551669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:27.757257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:28.080501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:28.287652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:28.489457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:28.695618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:28.894710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:29.089501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:29.302329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:29.521696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:29.738886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:29.939294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:30.152169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:30.350495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:30.539962image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:30.745541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:30.952546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:31.154881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:31.350662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:31.542709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:31.734538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:31.924817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:32.125185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:32.325868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:32.535444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:32.725653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:32.932366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:33.269142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:33.470974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:33.677372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:33.877034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:34.065406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:34.250877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:34.463614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:34.670118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:34.862473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:35.047638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:35.250098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:35.445711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:35.636390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:35.833159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:36.025173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:36.212340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:36.402898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:36.591991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:36.784807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:36.970621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:37.165154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:37.365964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:37.577586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:37.775309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:37.988832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:38.203608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:38.541548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:38.748049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:38.952584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:39.145693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:39.341058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:39.547027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:39.749682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:39.947608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:40.143630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:40.341449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:40.545421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:40.736445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:40.929116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:41.125343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:41.319278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:41.514822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:41.711313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:41.908868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:42.111575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:42.325686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:42.540460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:42.765332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:42.967630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:43.179083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:43.397392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:43.606497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:43.951097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:44.163746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:44.366188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:44.558728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:44.774373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:44.985689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:45.203216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:45.406332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:45.612562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:45.827650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:46.023391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:46.217791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:46.422231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:46.620594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:46.836521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:47.045054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:47.255852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:47.472167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:47.684756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:47.906286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:48.136197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:48.348901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:48.570908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:48.813816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:49.044438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:49.398643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:49.628502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:49.840333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:50.059721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:50.290713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:50.509460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:50.724849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:50.947173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:51.172734image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:51.385911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:51.596005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:51.814416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:52.029201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:52.235126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:52.451598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:52.662845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:52.875718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:53.088170image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:53.305638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:53.531169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:53.761916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:53.970266image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:54.194715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:54.423654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:54.654284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:55.028014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:55.256768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:55.490237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:55.701574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:55.933336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:56.162405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:56.384920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:56.612818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:56.834076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:57.054227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:57.255754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:57.464185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:57.691225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:57.904262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:58.130276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:58.345909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:58.557464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:58.771528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:59.005048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:59.253975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:59.482882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:59.706305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:14:59.939424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:15:00.175151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:15:00.537503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:15:00.758413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:15:00.986922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:15:01.195569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:15:01.406794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-25T20:16:29.598617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:29.795213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:29.992290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:30.198446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:30.415019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:30.632870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:30.849164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:31.049824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:31.265472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:31.622363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:31.844068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:32.048237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:32.256361image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:32.460032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:32.667184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:32.892981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:33.129671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:33.348973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:33.566226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:33.773345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:33.979503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:34.179004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:34.379799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:34.595753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:34.797998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:34.998644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:35.196337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:35.387811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:35.585676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:35.786312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:35.984373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:36.192442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:36.390450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:36.594322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:36.941959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:37.145829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:37.356496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:37.561097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:37.749581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:37.941637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:38.154258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:38.360438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:38.568218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:38.760608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:38.964310image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:39.159196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:39.359028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:39.552842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:39.752178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-25T20:16:57.947136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-25T20:16:58.544563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Missing values

2020-10-25T20:16:40.437178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:42.483576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:43.489544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:43.765400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

GESLACHTLEEFTIJDSKLASSEPOSTCODE_3AANTAL_BSNAANTAL_VERZEKERDEJARENKOSTEN_MEDISCH_SPECIALISTISCHE_ZORGKOSTEN_FARMACIEKOSTEN_SPECIALISTISCHE_GGZKOSTEN_HUISARTS_INSCHRIJFTARIEFKOSTEN_HUISARTS_CONSULTKOSTEN_HUISARTS_MDZKOSTEN_HUISARTS_OVERIGKOSTEN_HULPMIDDELENKOSTEN_MONDZORGKOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIEKOSTEN_PARAMEDISCHE_ZORG_OVERIGKOSTEN_ZIEKENVERVOER_ZITTENDKOSTEN_ZIEKENVERVOER_LIGGENDKOSTEN_KRAAMZORGKOSTEN_VERLOSKUNDIGE_ZORGKOSTEN_GENERALISTISCHE_BASIS_GGZKOSTEN_LANGDURIGE_GGZKOSTEN_GRENSOVERSCHRIJDENDE_ZORGKOSTEN_EERSTELIJNS_ONDERSTEUNINGKOSTEN_GERIATRISCHE_REVALIDATIEZORGKOSTEN_VERPLEGING_EN_VERZORGINGKOSTEN_OVERIG
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1M00.0330145.141124998.0225381.100.005278.156296.83122.1412654.511338.102062.2716851.352565.800.011936.650.000.000.000.004178.5346.060.000.000.00
2M0101.0579278.411786934.2632112.930.008995.6711378.90619.7121995.331736.69219.5118708.97122.800.013096.150.000.000.000.005221.256.580.00200.252211.57
3M0102.0312157.66950071.2512782.990.005950.247131.80135.5717602.211024.3997.5910164.69265.280.09365.320.000.000.000.001206.223.760.000.00131.87
4M0103.0341166.931344150.9124840.020.005616.567491.80195.6519003.186021.99223.1911792.31561.500.010201.430.000.000.000.00293.444.230.003333.95445.49
5M0105.0957454.982704233.2449095.530.0016008.6119426.951307.5943927.747059.73539.3130362.551097.200.031900.820.000.000.000.002435.0310.340.00176.67593.30
6M0106.01099546.944142347.5090956.510.0020634.1726067.421652.9873371.208767.5165.0947360.312185.770.037907.350.000.000.000.004916.7911.750.00843.361549.87
7M0107.0653327.822460736.5666963.340.0011042.9013761.072920.7329109.527507.39841.4637536.902384.040.023290.240.000.000.000.006923.865.170.009170.22570.07
8M0108.0285143.231171622.5233917.010.004768.536665.661576.6215280.092583.47149.5515982.32159.500.013941.080.000.000.000.0044956.420.470.00844.44153.20
9M0109.0572286.341566585.2548131.650.0010077.9812631.00760.4531746.885188.4144.5617210.121304.090.011347.650.000.000.000.001202.488.460.0013.62105.15

Last rows

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